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Paper Citation Record · LEDGER

Variational Inference using Implicit Distributions

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1702.08235.

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

pith.paper-citation-record.v1
1702.08235 v1

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:48:55.265741Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T20:57:23.300337Z

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 ad35fb0a-70f3-4c57-ba60-d94f264c7ec5 · inbound

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs cites this paper.

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs Variational Inference using Implicit Distributions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:08:46.735741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:08:46.735741Z digest=sha256:b796432d7cf9632de3fbb34e38f063a63ed7965fac80e16887224b1c5546fd25

Observation edde698a-de55-4dc3-ba4e-569e5653ec33 · inbound

VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation cites this paper.

VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation Variational Inference using Implicit Distributions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T16:48:55.265741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:48:55.265741Z digest=sha256:f1b7c5f3dbc1af2d54593313d3e82219de420bf663377b06263c0bb7ec007ccb

Observation e2f8e1e2-8e98-4233-a68f-4470694f59f8 · inbound

On Model-Based Clustering With Entropic Optimal Transport cites this paper.

On Model-Based Clustering With Entropic Optimal Transport Variational Inference using Implicit Distributions

Reference 234

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:31:17.970074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-07T15:09:29.750492Z digest=sha256:289051fa7f73475693c532ba53f34ce816e490b02e83887687231b4f0d7bebfa

Observation 82126e62-6644-49af-bcad-3c84eeadb365 · inbound

A Cubing Strategy for Identifying Stable Hyperparameter Regions for Uncertainty Quantification in Spatial Deep Learning cites this paper.

A Cubing Strategy for Identifying Stable Hyperparameter Regions for Uncertainty Quantification in Spatial Deep Learning Variational Inference using Implicit Distributions

Reference 207

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T21:17:48.580997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-19T21:14:45.344663Z digest=sha256:2deb64c9f738d958692d5534f83e6b133d572f891199b2e3ff776bb2442b6b51

Observation e55a1678-db42-4848-9f0e-5f082cc584b8 · inbound

Large-scale empirical tuning and comparison of default optimizers for variational inference cites this paper.

Large-scale empirical tuning and comparison of default optimizers for variational inference Variational Inference using Implicit Distributions

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-02T20:57:23.301455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T20:02:53.485837Z digest=sha256:5aaa5ac50a07277518293ed1210fb231e2f664abba2294f75473d322accce7d2