Paper Citation Record · LEDGER

Generalized Variational Inference: Three arguments for deriving new Posteriors

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1904.02063.

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

pith.paper-citation-record.v1
1904.02063 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:23:14.629726Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:39.830565Z

Reference resolution

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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 9e167099-7962-4818-ab8d-523bfc948772 · inbound

Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks cites this paper.

Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-14T11:28:35.839586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67b024a-9df8-4d0e-9127-0790bf944dfa · inbound

Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction cites this paper.

Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T15:06:07.177375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14aa09e5-294d-4b11-bf90-bb250c27c1a4 · inbound

A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices cites this paper.

A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:23:14.629726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e09a65-59dc-4331-a860-bcef181d1f0d · inbound

From Unsupervised to Guided Clustering: A Variational Implementation cites this paper.

From Unsupervised to Guided Clustering: A Variational Implementation Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:47.744182Z

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 758ce5e2-3b4c-475e-8bfe-7029c0b2f785 · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:32.935114Z

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 d0a59b5c-2e3a-4406-b2e0-bb80ec3dd9c6 · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 415

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:28.348666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863dcbb9-998d-43c0-bd66-9873f95f63c9 · inbound

Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs cites this paper.

Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:11:23.270023Z

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 4a66a5a8-bc4f-41a3-b4e9-045c856123e9 · inbound

Robust ensemble Kalman filtering under observation noise misspecification via diffusion score matching cites this paper.

Robust ensemble Kalman filtering under observation noise misspecification via diffusion score matching Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:15:49.028571Z

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 9db1874e-2fcf-49ce-9d0f-2f9cf1facafa · inbound

A Tutorial on Bregman Projection in Statistics cites this paper.

A Tutorial on Bregman Projection in Statistics Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.832035Z

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 7afeb3d0-ae16-4536-92a3-885cf187aa89 · inbound

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance cites this paper.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T02:41:41.839715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c78e4e5-5022-40f6-a8bc-da3be99393ab · inbound

Self-Supervised Representation Learning for Longitudinal Polypharmacy Patterns cites this paper.

Self-Supervised Representation Learning for Longitudinal Polypharmacy Patterns Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:39.828054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.