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Paper Citation Record · LEDGER

Variational Inference with Hamiltonian Monte Carlo

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1609.08203.

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

pith.paper-citation-record.v1
1609.08203 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:02.302783Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:05.917104Z

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 b71f60e7-2941-49ec-89b3-dbad7249288d · inbound

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators cites this paper.

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators Variational Inference with Hamiltonian Monte Carlo

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:05.994177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:58:02.302783Z digest=sha256:de0567b38bb9a9e1b60b3c85e54b02bcb1244a4f73e1051fbdceb693b78bf240