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Paper Citation Record · LEDGER

Understanding Stochastic Natural Gradient Variational Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.01870.

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

pith.paper-citation-record.v1
2406.01870 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:39:19.389478Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:20:56.549164Z

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 dac3c5d5-b618-41f4-b1d3-08492394a615 · inbound

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference cites this paper.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Understanding Stochastic Natural Gradient Variational Inference

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:19.389478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:19.389478Z digest=sha256:dc19a31f2489df59438616c52e5b4e662d9d54da0f063616a0e78d0cbff6e6d2

Observation 21eba610-d924-4c6a-9170-74c29c2311d9 · inbound

SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching cites this paper.

SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching Understanding Stochastic Natural Gradient Variational Inference

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:56.551542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:30:54.859754Z digest=sha256:1576dbcc7533b90131e20b961a79a21c3433e04c4d5212e1854d27f240e437b8