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Paper Citation Record · LEDGER

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities

As of 14 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2607.23018.

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

pith.paper-citation-record.v1
2607.23018 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:57:23.723971Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

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

measured 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

89 of 89 outbound references displayed

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  • verified fuzzy0
  • unresolved77
  • parse uncertain1
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 245da063-4a82-4c2d-85a4-888054882fc5 · outbound

This paper cites Abdu and I.S.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Abdu and I.S

Reference 1

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Observation 76ef2a30-20f7-4f56-80ee-320ad330f6ce · outbound

This paper cites and Torres-Arredondo, M.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Torres-Arredondo, M

Reference 2

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Observation 26866940-ec0b-4cbf-b6d9-7e1a9ab50675 · outbound

This paper cites Nelson and Jeremy Staum , journal =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Nelson and Jeremy Staum , journal =

Reference 3

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Observation 22a67d39-6139-4b5d-b184-fc3b2fc3e2fc · outbound

This paper cites 2018 , issn =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2018 , issn =

Reference 4

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Observation 3d3eaa53-2000-4751-bcb1-5c233fcef482 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Advances in Neural Information Processing Systems , volume =

Reference 5

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Observation dacde185-1c4e-4365-9805-480cffee20b6 · outbound

This paper cites Technometrics , volume=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Technometrics , volume=

Reference 6

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Observation 61fc2c5a-5c0a-4f4f-b216-8fb8904b1f28 · outbound

This paper cites Gramacy and Mike Ludkovski , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Gramacy and Mike Ludkovski , title =

Reference 7

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Observation 3b3fd22d-486b-43b5-a48b-4b8db1322d83 · outbound

This paper cites Journal of Statistical Software , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Statistical Software , volume =

Reference 8

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Observation 2ec05cac-2ae9-4214-9ee2-219222633dbc · outbound

This paper cites NAVIGATION , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities NAVIGATION , volume =

Reference 9

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Observation 304b7d7b-b11f-4d0f-9a00-9c79557a74f2 · outbound

This paper cites Nonstationary Gaussian Process Surrogates.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Nonstationary Gaussian Process Surrogates

Reference 10

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Observation 8e8d51e0-bafc-4169-bad7-86dbf0c633eb · outbound

This paper cites Cawley and Nicola L.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Cawley and Nicola L

Reference 11

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Observation 87ad320e-1dd8-4b9d-8bf8-6591a8bd2c87 · outbound

This paper cites NeuroImage , volume=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities NeuroImage , volume=

Reference 12

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Observation 5491604d-0c01-4ee5-9c08-39cd8fea8355 · outbound

This paper cites , booktitle =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities , booktitle =

Reference 13

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Observation fc02ebcd-7f86-4195-be31-952217896d35 · outbound

This paper cites Thin and deep Gaussian processes , url =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Thin and deep Gaussian processes , url =

Reference 14

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Observation 34d1174d-f562-41a1-afc7-d4e5d822720c · outbound

This paper cites and Kass, Robert E.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Kass, Robert E

Reference 15

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Observation ee7c74df-6b14-45db-bca5-06cfe9e0959e · outbound

This paper cites Scherer and Sebastian Trimpe , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Scherer and Sebastian Trimpe , title =

Reference 16

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Observation 57188bac-9c6d-4124-9374-03ff88946ba1 · outbound

This paper cites Gibbs , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Gibbs , title =

Reference 17

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Observation 318f8af3-ccca-4ba9-a4ab-326f04e12035 · outbound

This paper cites Journal of Machine Learning Research , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Machine Learning Research , volume =

Reference 18

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Observation 39bf58a4-0faf-4dd2-88a2-c46fd73ffcb5 · outbound

This paper cites Regression with Input-dependent Noise: A Gaussian Process Treatment , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Regression with Input-dependent Noise: A Gaussian Process Treatment , volume =

Reference 19

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Observation 3ca0345f-bad1-4824-9ad5-28111ad95e2c · outbound

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Maurin, M

Reference 20

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Observation 5c8cdd05-95fc-4818-b1e3-78f431fff6d3 · outbound

This paper cites Gramacy and Herbert K.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Gramacy and Herbert K

Reference 21

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Observation e68184aa-8c34-4c08-80bd-394e0c0132d6 · outbound

This paper cites Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =

Reference 22

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Riddell, A

Reference 23

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2016 , howpublished =

Reference 24

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Observation c9d40b0e-9bf7-40e4-83f0-5e14c475b7f8 · outbound

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Oates , title =

Reference 25

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Observation 1bebaa93-997d-46c6-9f3c-3cf75842b3d1 · outbound

This paper cites Proceedings of the 24th International Conference on Machine Learning , pages =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 24th International Conference on Machine Learning , pages =

Reference 26

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities C Holmes , title =

Reference 27

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 1965 , publisher=

Reference 28

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Observation 1476c967-5b63-4a2b-bf57-ac70b78834d1 · outbound

This paper cites The Journal of Portfolio Management , volume=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities The Journal of Portfolio Management , volume=

Reference 29

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Property Research , volume =

Reference 30

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Machine Learning Research , volume=

Reference 31

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Smola, Alex J

Reference 32

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Advances in Neural Information Processing Systems 32 , editor =

Reference 33

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Lejeune and M

Reference 34

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities When Gaussian Process Meets Big Data: A Review of Scalable GPs , year=

Reference 35

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Observation 6d1c1172-b8a4-47f2-a7c4-089fa4c81d46 · outbound

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities An Overview of Gaussian process Regression for Volatility Forecasting , year=

Reference 36

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 37

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 39th International Conference on Machine Learning , series =

Reference 38

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This paper cites Journal of Geodesy , keywords =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Geodesy , keywords =

Reference 39

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Observation dccc5ebb-0b6a-43ff-898d-a250f815dbef · outbound

This paper cites Krigeage d'un panneau rectangulaire par sa p.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Krigeage d'un panneau rectangulaire par sa p

Reference 40

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Observation 91ce00b2-d2f9-4b33-8e2f-5800013eee70 · outbound

This paper cites and Stolle, C.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Stolle, C

Reference 41

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Observation 186de494-8068-4e6d-a2bd-e31d0ad9f2ca · outbound

This paper cites Navigation: Journal of the Institute of Navigation , year=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Navigation: Journal of the Institute of Navigation , year=

Reference 42

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Observation 5713ac58-b6fd-4412-ad0e-6cb51ad195fc · outbound

This paper cites and Cawley, Gavin C.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Cawley, Gavin C

Reference 43

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Observation 31502fad-a82d-42ba-a0d5-b88be8dfd51a · outbound

This paper cites and Doerk, Gregory S.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Doerk, Gregory S

Reference 44

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source=arxiv_source observed=2026-08-01T03:57:23.531987Z digest=sha256:7edeb9bd72d68f1015e9724ac4fa7e412780e91901c652159de940fa6b5a4904

Observation ddfd09ae-621c-4daf-8a21-bdeeee87d307 · outbound

This paper cites and Luo, Hengrui and Risser, Mark D.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Luo, Hengrui and Risser, Mark D

Reference 45

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source=arxiv_source observed=2026-08-01T03:57:23.536563Z digest=sha256:d8eb183791fda707d029c1489783387434f509f9d3cb74f2180853a11d3e7f84

Observation f6ea0f94-dd78-4a64-bc5d-fa175d9b40ce · outbound

This paper cites Positioning and Applications.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Positioning and Applications

Reference 46

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source=arxiv_source observed=2026-08-01T03:57:23.541031Z digest=sha256:648a105cc3c986ed9e7fa660e9ac4bf78e66f8535a38a99c9e20662cc497688b

Observation 9fdb331b-327f-44d0-96ca-a1c71283336f · outbound

This paper cites , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities , title =

Reference 47

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source=arxiv_source observed=2026-08-01T03:57:23.545727Z digest=sha256:dfe935bdbad4bdc9408e85cc89f92de8494a02ca61f19c48759f9cd16ac875c5

Observation 03b2da5d-ed53-4b82-8f46-b5b9020c4aee · outbound

This paper cites Adaptive hybrid-kernel function based Gaussian process regression for nonparametric modeling of ship maneuvering motion , journal =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Adaptive hybrid-kernel function based Gaussian process regression for nonparametric modeling of ship maneuvering motion , journal =

Reference 48

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source=arxiv_source observed=2026-08-01T03:57:23.549946Z digest=sha256:a0267b03483b49a0690e1ef97446485cbee9d56c39ccda0b35ebcbc7e62363a3

Observation 7b932dbd-172f-4f55-a205-23fc9e2c21c3 · outbound

This paper cites 2025 , doi =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2025 , doi =

Reference 49

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source=arxiv_source observed=2026-08-01T03:57:23.554470Z digest=sha256:036be5587704c5cd22a65d29802a76ed688cb188c8a23e9555f2c87a2f4b2319

Observation a607ae54-6e95-4354-80c1-d8f3c0600766 · outbound

This paper cites Recurring Ionospheric Gradients, Irregularities, and Depletions Over New Zealand , doi =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Recurring Ionospheric Gradients, Irregularities, and Depletions Over New Zealand , doi =

Reference 50

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source=arxiv_source observed=2026-08-01T03:57:23.558941Z digest=sha256:133a5235baa89c10cccba70fd0cad7fcf272824c1f773988892671a1a573fb21

Observation 64a680a9-a8cb-4c08-b263-1546d688554f · outbound

This paper cites Nonstationary Covariance Functions for Gaussian Process Regression , url =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Nonstationary Covariance Functions for Gaussian Process Regression , url =

Reference 51

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source=arxiv_source observed=2026-08-01T03:57:23.563431Z digest=sha256:3917c2617166add029f7caae118c98cb6a963214eed197ff0bd048fff16b5390

Observation 062f4a50-57a6-4725-875e-f82e1769cfae · outbound

This paper cites 2001 , publisher=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2001 , publisher=

Reference 52

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source=arxiv_source observed=2026-08-01T03:57:23.567525Z digest=sha256:5966bca5edbfbe8b68b04cd607af6fff288743a71ab2110e52c26b3d411c5657

Observation 2fc77d0d-cc7f-4da1-8506-ceae3799fb8a · outbound

This paper cites Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

Reference 53

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source=arxiv_source observed=2026-08-01T03:57:23.571565Z digest=sha256:8097650848951d2afef0b21c9abe2974d62d245a1552ef7bf6ebe3215921138b

Observation 0f3dff27-a7c0-480d-951f-ff4911755acc · outbound

This paper cites PeerJ Computer Science , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities PeerJ Computer Science , volume =

Reference 54

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source=arxiv_source observed=2026-08-01T03:57:23.575621Z digest=sha256:a08bcfe59797390e1085bcdd40c8adbae5615d21e749c92eb4e4d15a3f7ec3e3

Observation 3b46a3a6-03e5-49d8-b1a4-b0cf73d4f034 · outbound

This paper cites A Unifying View of Sparse Approximate Gaussian Process Regression , journal =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities A Unifying View of Sparse Approximate Gaussian Process Regression , journal =

Reference 55

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source=arxiv_source observed=2026-08-01T03:57:23.579712Z digest=sha256:491852619d8b1c2004053ba5af580aded5388ad8668562057b9c7aa5d1ee8ae8

Observation b7fe917c-95d1-4554-8538-614ba2884c59 · outbound

This paper cites Infinite Mixtures of Gaussian Process Experts , url =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Infinite Mixtures of Gaussian Process Experts , url =

Reference 56

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source=arxiv_source observed=2026-08-01T03:57:23.584288Z digest=sha256:259d96d283c5d0de5a38e1d47317bd236987a3f0061162dbe8dee595a51703c3

Observation 18949f50-2fac-4d27-9659-29e271c5f613 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-08-01T03:57:23.588591Z digest=sha256:89a2738f9c68eb06710b7f989ead42be28d2b4d3335053e2134f3e76768989d1

Observation 24fce493-e353-45be-a510-d5ae4a980358 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 58

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source=arxiv_source observed=2026-08-01T03:57:23.594070Z digest=sha256:89c660c91741db320b05ef2ce7eaab8c0c96e51db4397ccf00b72e94f2bfd2f2

Observation 798f7dfd-335a-4ef9-a866-a30b2863c34a · outbound

This paper cites 2020 , type =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2020 , type =

Reference 59

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source=arxiv_source observed=2026-08-01T03:57:23.598236Z digest=sha256:ce725d59508b83018e348f2c0eff7511513e8966cb2fd94e0a35affd0e3bfbe1

Observation c5d84e6f-efa0-4ec7-b4e8-cd168de83663 · outbound

This paper cites Proceedings of the 2017 International Technical Meeting of The Institute of Navigation , year =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 2017 International Technical Meeting of The Institute of Navigation , year =

Reference 60

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source=arxiv_source observed=2026-08-01T03:57:23.602701Z digest=sha256:26d08b2573dccebd02f1f9cca6ea9cf427e473216799df889048f9dd57dc995e

Observation 38ae9eba-57f0-447d-801f-0ce2fbaf2283 · outbound

This paper cites Deisenroth , booktitle =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Deisenroth , booktitle =

Reference 61

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source=arxiv_source observed=2026-08-01T03:57:23.607325Z digest=sha256:66f5770cb24cabf3e22bc35007e3cb1717ba40bf76d6066eda33b5c60a686e63

Observation 337eef90-94fb-4468-8461-81d2a765a6b3 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-01T03:57:23.611420Z digest=sha256:82a987d79a543a993ad7a9eb7fcb9e7d4e4568cb8b07cb3103054b25dd9eab37

Observation b33afa37-298b-4711-91e8-0158c5dc78b3 · outbound

This paper cites Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =

Reference 63

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source=arxiv_source observed=2026-08-01T03:57:23.615774Z digest=sha256:9508ea1c9a593f17a53259d8d76dcbe560b1068e9ea5a846d073b4ec49d11122

Observation b5d8a94b-a264-459d-973c-e20ab6c917a3 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-08-01T03:57:23.619801Z digest=sha256:a96036ed26f2d5018a65d8c04e589a4ff5729891da22b8eb9f66b761c61ff3ae

Observation b7957fa0-0603-4bfd-9e9d-f9f4393aa3da · outbound

This paper cites European Journal of Operational Research , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities European Journal of Operational Research , volume =

Reference 65

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source=arxiv_source observed=2026-08-01T03:57:23.623906Z digest=sha256:2b3bb1c41768d09d3e4b9bb88cd8e14468fa59aa7eefc6186bd4a0c2ecb922d4

Observation ee9799fd-5cbb-4e5c-8d6c-ef7911973206 · outbound

This paper cites Journal of Machine Learning Research , year =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Machine Learning Research , year =

Reference 66

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source=arxiv_source observed=2026-08-01T03:57:23.628441Z digest=sha256:f7f7a4105c4b62cb5cf7e1542d02ae0d7fd5de10f4cdd404704627533d64acb9

Observation 8a9bd393-988a-4cb2-99a6-a2aab3d3ec83 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 67

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source=arxiv_source observed=2026-08-01T03:57:23.632494Z digest=sha256:5ff4b38ed89200902c1579f4904999c40beb7476c0e7258d8055241ef6ae7410

Observation 89432f87-c070-468d-8bac-6b937da38cd4 · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities International Conference on Machine Learning (ICML) , year =

Reference 68

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source=arxiv_source observed=2026-08-01T03:57:23.636745Z digest=sha256:4d073875565e69b2adfda1f4ad7e90686b16a559e003d400c67309247be4967a

Observation e82a9dad-acb4-4849-a6e9-c4617985218c · outbound

This paper cites Radio Science , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Radio Science , volume =

Reference 69

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verified exact
doi, observed 2026-08-01T03:58:26.142869Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T03:57:23.640776Z digest=sha256:37bd27f2c91a641f09d93fce9ff2461d0a0b6d66b77e803a7fe6efde29e2dc57

Observation 55562323-f19e-4bc9-8e67-945e16786037 · outbound

This paper cites Radio Science , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Radio Science , volume =

Reference 70

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Observation 2f879902-e80f-43e7-b242-19b581228e03 · outbound

This paper cites 2022 , doi =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 2022 , doi =

Reference 71

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Observation 2be001cb-200b-4fc7-8e7c-43d1b347c780 · outbound

This paper cites and Seeger, Matthias , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities and Seeger, Matthias , title =

Reference 72

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source=arxiv_source observed=2026-08-01T03:57:23.653148Z digest=sha256:5a36ba0e137acf356bb86a5d577248cb86897c0234957c50eee2115372b2665d

Observation 37b04c9b-7500-4423-9252-13619c372f86 · outbound

This paper cites Journal of Geomagnetism and Geoelectricity , year = 1990, month = jan, volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Geomagnetism and Geoelectricity , year = 1990, month = jan, volume =

Reference 73

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

source=arxiv_source observed=2026-08-01T03:57:23.657312Z digest=sha256:f80f53d6ff28d869d688ca179942b224f04fb3c199aa475093f5df57ca1eac28

Observation d9905534-44eb-4244-95d8-9f8ba81a6b45 · outbound

This paper cites Journal of Machine Learning Research , year =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Journal of Machine Learning Research , year =

Reference 74

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Observation 0900a4f5-4ea8-4547-8492-6ac18c24231c · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 75

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Observation 44780f07-e5f1-42ee-9473-f7bd85f2e70e · outbound

This paper cites Spatial mapping with Gaussian processes and nonstationary Fourier features , journal =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Spatial mapping with Gaussian processes and nonstationary Fourier features , journal =

Reference 76

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verified exact
doi, observed 2026-08-01T03:58:25.967868Z

Source-reported events for the cited work

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

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Observation 886a3a45-5879-4d81-8328-1c6efaf7bcd9 · outbound

This paper cites Tsunoda , title =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Tsunoda , title =

Reference 77

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Observation ee3644ff-f714-4a55-a9f9-8f20e34c723d · outbound

This paper cites Gaussian Process modeling of large scale terrain , year=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Gaussian Process modeling of large scale terrain , year=

Reference 78

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Observation 224321e3-d293-43db-9a66-ccc0e6e875e3 · outbound

This paper cites Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods , year=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods , year=

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This paper cites 95 , institution =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities 95 , institution =

Reference 80

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Observation 46fc01b5-3c9f-48e6-921d-77d36ffced71 · outbound

This paper cites an unresolved cited work.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Unresolved cited work

Reference 81

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Observation ce89b9dc-c77f-43f1-b299-e3da777cf2f9 · outbound

This paper cites NAVIGATION , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities NAVIGATION , volume =

Reference 82

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Observation 77dea33c-40a7-4148-a814-40d202c2ed27 · outbound

This paper cites Technometrics , volume =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Technometrics , volume =

Reference 83

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Observation 8d34dba4-4b62-486a-b56e-6d3089113e7b · outbound

This paper cites Wang and Rory Nathan , keywords =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Wang and Rory Nathan , keywords =

Reference 84

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Observation 55065bb7-2dbb-48c6-959f-ce7ab31265e0 · outbound

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Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities , title =

Reference 85

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Observation 918d4dca-8a6f-41ff-ab50-90980562dae9 · outbound

This paper cites Yu and L.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Yu and L

Reference 86

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Observation 6af99e87-fbdd-45c2-8a1a-567e69ac915b · outbound

This paper cites Proceedings of the 2016 Winter Simulation Conference , pages =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Proceedings of the 2016 Winter Simulation Conference , pages =

Reference 87

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Observation 8d37184a-dc87-4277-ad3f-62801c265c81 · outbound

This paper cites Dayside Magnetosphere Interactions , series =.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Dayside Magnetosphere Interactions , series =

Reference 88

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Observation 8605579c-0b60-42d1-afce-7db86e94611e · outbound

This paper cites Cityscape , volume=.

Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities Cityscape , volume=

Reference 89

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