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Paper Citation Record · LEDGER

The Variational Gaussian Process

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1511.06499.

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

pith.paper-citation-record.v1
1511.06499 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:38:14.316160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:08:20.679089Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4118ddc8-1ee1-4ca2-a164-fc549431b726 · inbound

Density estimation using Real NVP cites this paper.

Density estimation using Real NVP The Variational Gaussian Process

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:57:54.394283Z

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.

source=pdf_text observed=2026-05-11T23:56:05.090385Z digest=sha256:1d676b7ac92517aba142d746401bcbc1db3c526ac162970767312af88b201cbd

Observation 9763709c-6b80-4d9c-8840-3b43a1535995 · inbound

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning cites this paper.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning The Variational Gaussian Process

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-09T12:38:14.316160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:38:14.316160Z digest=sha256:11d3fc35e6d8b8459f6207581577de8db66fcac681781856da0de4bef1e87d88

Observation 8c496b98-f9e3-41ee-ab5b-e5b736cf122c · inbound

A cautious user's guide in applying HMMs to physical systems cites this paper.

A cautious user's guide in applying HMMs to physical systems The Variational Gaussian Process

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:28.518364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:28.518364Z digest=sha256:60f24f1c993f5727297a854da1c70d53bb1cdbdf452c4c5494c4dacbe2328080

Observation e80a6fdf-47e3-4058-8a51-9f9fd9162ad7 · inbound

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial The Variational Gaussian Process

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:57:54.394283Z

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.

source=pdf_text observed=2026-05-13T22:06:48.152555Z digest=sha256:2e9b711f38179586b277afb93ddd151fe4a9a50dff7786b502f8896231a3877f