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Paper Citation Record · LEDGER

zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

As of 15 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.03468.

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

pith.paper-citation-record.v1
2105.03468 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-14T06:31:01.685423+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:25:37.540627Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:58:50.535068Z

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 e7cc5959-588e-4c78-9908-10bdc69ec8c4 · inbound

Accelerated Time-domain Analysis for Gravitational Wave Astronomy cites this paper.

Accelerated Time-domain Analysis for Gravitational Wave Astronomy zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

Reference 150

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:46:12.457262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=pdf_text observed=2026-05-15T15:44:03.750959Z digest=sha256:1e8d8937a69bac233e41202db8800825c7a4591eea56c44b1c6a8b6a4271a4a7

Observation 11b15c7c-d1d3-4596-b39d-d8f274867d17 · inbound

How I stop worrying about non-universality and $b_\phi$: Constraining local $f_{\rm NL}$ with $b_\phi$ priors from HOD posteriors cites this paper.

How I stop worrying about non-universality and $b_\phi$: Constraining local $f_{\rm NL}$ with $b_\phi$ priors from HOD posteriors zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:58:50.536342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=pdf_text observed=2026-07-03T18:57:19.279101Z digest=sha256:931a6bea563df53145880fb3d41ff8bc212aeee2d719883f553ff4826d6c1144

Observation f3fe7f67-7586-4211-9a2f-3e64f4fec32e · inbound

Probing a 146 GeV cLFV scalar using the LHC and low-energy experiments cites this paper.

Probing a 146 GeV cLFV scalar using the LHC and low-energy experiments zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-12T03:49:15.259893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:49:15.259893Z digest=sha256:4e2fcf0d2eca83a6acd69c27f8bf7065fb12f1f8f99b9fb2fd50a3ce1523652c

Observation 0b27b2dc-b9be-4325-a04a-6d63881946b4 · inbound

Personalized Causal Recourse: A Human-In-The-Loop Approach cites this paper.

Personalized Causal Recourse: A Human-In-The-Loop Approach zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T02:34:50.212306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:34:50.212306Z digest=sha256:3acec0871a7d6ea5872fb5bef1933e531cff85e75863ab868682af275d818226

Observation 8c1680e6-9d0f-402e-9970-ae34d9413300 · inbound

Assessing the large-scale angular clustering of UNIONS Lyman Break Galaxies via cross-correlations cites this paper.

Assessing the large-scale angular clustering of UNIONS Lyman Break Galaxies via cross-correlations zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference

Reference 127

Resolution
unresolved
no resolver link, observed 2026-07-14T14:25:37.540627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:25:37.540627Z digest=sha256:3f0eb05662806c6f4135dd80a2d26a39662261b10a9c18751374b13cd151ae36