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Paper Citation Record · LEDGER

Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1706.01629.

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

pith.paper-citation-record.v1
1706.01629 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:44:40.697847Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T23:40:05.180260Z

Reference resolution

0 of 0 outbound references displayed

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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 30251a17-1ef3-48d3-b15a-6cf39e17d0a8 · inbound

Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method cites this paper.

Gravitational-wave parameter estimation with gaps in LISA: a Bayesian data augmentation method Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T23:40:05.182943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T23:38:39.268477Z digest=sha256:7f2f504008e500fc725daef1f1d8d4c81a73d0557d76df6b07487e6bd6767689

Observation f0df04ce-bc7f-442d-a16e-18bcf363ff36 · inbound

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes cites this paper.

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-23T03:55:21.659276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:16ee0fc03ffcc603057c083555b454037636921eacb5c4a7ad222b976c25a21d

Observation b387a21e-2c68-4111-a175-96bd572d0874 · inbound

Search for Annual Modulation in Combined ANAIS 112 and COSINE 100 Data using Bayesian Model Comparison cites this paper.

Search for Annual Modulation in Combined ANAIS 112 and COSINE 100 Data using Bayesian Model Comparison Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T13:44:40.697847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:44:40.697847Z digest=sha256:00d5eccfb8596472090f7f1e69ebd411b11e1f52df571b3fa3e3bdc9e3da3a18

Observation 74d25760-ba2c-4465-8311-78e1835c0bfe · inbound

Binarity at LOw Metallicity (BLOeM): massive star variability revealed using a novel software tool for point-spread function fitting of TESS images cites this paper.

Binarity at LOw Metallicity (BLOeM): massive star variability revealed using a novel software tool for point-spread function fitting of TESS images Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-19T19:42:43.820300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:15742adcbe7c8d5d2093da4b7f577db9360a3a75689e7f76e308b4ca3e2056bc

Observation 635f27c1-9d24-452f-b34b-ef301e02d59d · inbound

Determination of the best dark matter profile for the Milky Way with Gaia DR3 using Bayesian Model Comparison cites this paper.

Determination of the best dark matter profile for the Milky Way with Gaia DR3 using Bayesian Model Comparison Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:22:44.943917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:1801061d2cfb388715a8ff37cfc9a7ecdbbe36d60a14a79688163eb22ff80227

Observation ea796733-b973-4a55-816a-7a4784b9d85f · inbound

Testing the reliability of magnetic field strength measurements for M dwarfs cites this paper.

Testing the reliability of magnetic field strength measurements for M dwarfs Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-20T00:47:54.503278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:e01ef0af4316461df9aeca48e7c6e9ef8081e8cb0d9ffbd26a9b01e41dc73689