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Paper Citation Record · LEDGER

Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1708.07114.

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

pith.paper-citation-record.v1
1708.07114 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 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:31.824854Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:47:31.960036Z

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 0d2d5963-ca37-46a8-b65a-4225e70df14e · inbound

High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm cites this paper.

High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:47:31.967524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:47:31.824854Z digest=sha256:ec90732b34826485b5a9cb4714e63ea3e580ae3336024a6e4a44065fad6fb59b