Pith. sign in

Paper Citation Record · LEDGER

Generalized Variational Inference: Three arguments for deriving new Posteriors

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:06:07.177375Z

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

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 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.

source=pdf_text observed=2026-08-10T15:06:07.177375Z digest=sha256:52831d4e4ff7f670665099c325c8bc90ff0c5504dc6ed1b49585f14a2c0e70f8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T19:22:56.892730Z digest=sha256:43a86c5f1e3f7eac72b626d81f1933ae9a295b88d5eb4e7629c0367ee5e9e7d4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:04:30.271351Z digest=sha256:3fc9badb158365a03c16b05eb76fe2645bd73818ec2dba4408f17caf763e435c

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.

source=pdf_text observed=2026-08-02T14:26:28.348666Z digest=sha256:1c5c0bbdb2369802a1a9a56984a2a0513d53b3d284cf12f986cda70947b6e797

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:40:48.470892Z digest=sha256:f68ec73fef37b7e412a10959c33d504b9245eccb768c88ebd2fc2d99c7e745e9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T16:15:11.108786Z digest=sha256:aadf127a243ae94228deb92f8b7364932bccdb89908de02e60f4f36492305b67

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T12:28:28.762683Z digest=sha256:140f82338f0eaead5b6e91d8a346f707d1d64eab2b0bdcf549b0e2a12d161690

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.

source=arxiv_source observed=2026-08-01T02:41:41.839715Z digest=sha256:ec4aebdcd3f1869d0611831b4fd5f95a4108ec1d4d8749a328661403d13a4077