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Paper Citation Record · LEDGER

A Tutorial on Sparse Gaussian Processes and Variational Inference

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.13962.

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

pith.paper-citation-record.v1
2012.13962 v14

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:02:48.015076Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c8ab93d7-571d-47b7-b619-312ad318b8b5 · inbound

New Bounds for Sparse Variational Gaussian Processes cites this paper.

New Bounds for Sparse Variational Gaussian Processes A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-08T00:02:48.015076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:02:48.015076Z digest=sha256:92dc40b6e73a630eceba56720bee517d01d5b9c2cd003038b45b8f2bd7d0923c

Observation 1843afc7-6382-4f85-b4c9-ee6997de1610 · inbound

No-Regret Gaussian Process Optimization of Time-Varying Functions cites this paper.

No-Regret Gaussian Process Optimization of Time-Varying Functions A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T19:33:06.918381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T19:33:06.918381Z digest=sha256:9829046cf4e09431fc75b884bcb398fd84f483d986c99fd79a03d39745a8443a

Observation a09b4882-6fd4-4069-a3cd-38dc4eec7a93 · inbound

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations cites this paper.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:51:12.849821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:848e8e4553e6020024ad1234a69ba67ec4465377b1f07f1657cba08f365c699d

Observation fc5654bf-b2c9-4e2f-9d37-7b2017f69ea9 · inbound

An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes cites this paper.

An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:07.868714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T20:13:09.025723Z digest=sha256:a4f9ecd6c3e70c7854571d599d02b30f0b8d0c2a09bfab6deb97bb3966788b9e

Observation 10f285b1-222a-4aeb-8d15-3ba38afa41c1 · inbound

Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest cites this paper.

Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:47.750675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T01:34:51.681907Z digest=sha256:9edfac39c65572a73788a8232dd91a19bd237a4d2a13212912e4552e845fa218