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Paper Citation Record · LEDGER

Stochastic natural gradient descent draws posterior samples in function space

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.09597.

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

pith.paper-citation-record.v1
1806.09597 v4

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:28:29.865871Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:28:30.171006Z

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 4db84599-6cd3-4fdd-9ec1-60a6fd87ef4a · inbound

Random Matrix Theory for Stochastic Gradient Descent cites this paper.

Random Matrix Theory for Stochastic Gradient Descent Stochastic natural gradient descent draws posterior samples in function space

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:28:30.175791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:28:29.865871Z digest=sha256:604fa2503ae71a32d1822d33f44ce2172950c59832cb21166ef65418a210cb03

Observation aaf44a36-df8b-4c44-82cc-9982c0cc2ff9 · inbound

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation cites this paper.

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation Stochastic natural gradient descent draws posterior samples in function space

Reference 188

Resolution
unresolved
no resolver link, observed 2026-08-04T07:44:31.622134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:44:31.622134Z digest=sha256:9bdfa81065f6407c1a726d28be286e99275b8ac066573c0ed7f5d19bc8842c9c