Paper Citation Record · LEDGER

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.18683.

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

pith.paper-citation-record.v1
2507.18683 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:14:57.969038Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

12 of 12 outbound references displayed

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verified fuzzy11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2aacdd3c-ed50-4680-8bbc-9c9e33e2911d · outbound

This paper cites pkann – II. A non- linear matter power spectrum interpolator developed using artificial neural networks.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra pkann – II. A non- linear matter power spectrum interpolator developed using artificial neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.284609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 429d1ac6-4ec2-4c6e-a774-1402076e7658 · outbound

This paper cites Vecchia-approximated deep Gaussian processes for computer experiments.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra Vecchia-approximated deep Gaussian processes for computer experiments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.047335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79409113-8876-466a-9171-cda7317b5d1c · outbound

This paper cites lanl/SEPIA: v1.1.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra lanl/SEPIA: v1.1

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.212664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76b8727c-9ecd-481a-ad9a-28c8f546c4ff · outbound

This paper cites Bayesian "Deep" Process Convolutions: An Application in Cosmology.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra Bayesian "Deep" Process Convolutions: An Application in Cosmology

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T18:14:58.024751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf9dc629-5189-437d-9b92-149a990d6951 · outbound

This paper cites The coyote universe. III. Simulation suite and precision emulator for the nonlinear matter power spectrum.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra The coyote universe. III. Simulation suite and precision emulator for the nonlinear matter power spectrum

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.154020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47033060-cc37-4c89-b7eb-3ee0df21034f · outbound

This paper cites Flowing with time: a new approach to non-linear cosmological perturbations.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra Flowing with time: a new approach to non-linear cosmological perturbations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.097097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f01f6a22-b658-4d43-82e4-b6301e782ff1 · outbound

This paper cites J., Williams, B.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra J., Williams, B

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.070249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce19875f-a9bb-49d9-82bb-5292bb5d1ce3 · outbound

This paper cites hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.262562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f5e6ea4-7ecf-4639-ac0c-6e45dad0a69a · outbound

This paper cites How deep are deep Gaussian processes?.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra How deep are deep Gaussian processes?

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.240270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8c6be76-1c8e-49ba-ab91-5309b44939fd · outbound

This paper cites The coyote universe. I. Precision determination of the nonlinear matter power spectrum.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra The coyote universe. I. Precision determination of the nonlinear matter power spectrum

Reference 108

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.195144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9b23efd-9d4f-43ab-be7d-75915a9905ba · outbound

This paper cites CosmoDC2: A synthetic sky catalog for dark energy science with LSST.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra CosmoDC2: A synthetic sky catalog for dark energy science with LSST

Reference 580

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.175168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab6bdc84-5a58-4317-a5df-9b1ae82bfc98 · outbound

This paper cites Non-linear power spectrum including massive neutrinos: the time-RG flow approach.

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra Non-linear power spectrum including massive neutrinos: the time-RG flow approach

Reference 1322

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:14:58.120503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.