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Paper Citation Record · LEDGER

Automatic Zig-Zag sampling in practice

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.11410.

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

pith.paper-citation-record.v1
2206.11410 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:47:13.576012Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T12:16:13.904932Z

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 fccac15c-7acc-4f3c-8831-2f272acf7c2c · inbound

Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference cites this paper.

Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference Automatic Zig-Zag sampling in practice

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T14:47:13.576012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:47:13.576012Z digest=sha256:b4b51cdac273e843f1af794c76c0ac267ac06ed0214d3eb610676560aa5b6bfc

Observation 94d0b11c-e1c2-4e2d-8240-9aa51af0187d · inbound

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone Automatic Zig-Zag sampling in practice

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-04T07:38:36.452785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-04T07:36:36.408196Z digest=sha256:9674f7f8c4a10589aba125c8bc92f2de00c40b26f8c9b123caffaa860dc62e60