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Paper Citation Record · LEDGER

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2111.12720.

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

pith.paper-citation-record.v1
2111.12720 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:00.714829Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a06e8565-8d05-4794-af49-9d3901c4564e · inbound

A search for periodic AGN variability in $\textit{Gaia}$ Data Release 3 cites this paper.

A search for periodic AGN variability in $\textit{Gaia}$ Data Release 3 Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:50:54.534266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T01:49:39.803927Z digest=sha256:3d8aeaf4161fefc69b900029c01643a876f167a674f65600839a6becf8c034d2

Observation 9c49406c-7b00-4ab2-97f1-75121df52bda · inbound

Self-consistent population synthesis of AGN from observational constraints in the X-rays cites this paper.

Self-consistent population synthesis of AGN from observational constraints in the X-rays Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:00.714829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:00.714829Z digest=sha256:d96f5444f183824706c84b1120caf84571542b954a89bdfce26351102a504bfe

Observation 603cb695-590a-43cb-8a91-bc700cc4b610 · inbound

Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation cites this paper.

Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:55.840784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:18:55.840784Z digest=sha256:d263822af01e713abaeb7a2f4841775c6ebb2df0527a4774f107f4c1e2b295fa

Observation f58e9363-3e81-42a9-a1f2-135afb733bd7 · inbound

Sample-efficient evidence estimation of score based priors for model selection cites this paper.

Sample-efficient evidence estimation of score based priors for model selection Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:30:18.107290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T20:26:46.620350Z digest=sha256:1ec99d5a70f2e1eb7a2c280cff7abaa60152689eb61fd7ac15653fc19c733269

Observation 734cc9bd-591e-48af-80e7-b352c3dc4a42 · inbound

Negative neutrino mass or negative dark energy? cites this paper.

Negative neutrino mass or negative dark energy? Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:03:55.296560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T03:03:07.191130Z digest=sha256:2b2d9e72711c19c5cd2356a1a22ec33b1bf0391ef3a616b94769e5d99728b7b3

Observation 210ecf17-b77e-4977-b431-e9230414354a · inbound

Evolving Dark Energy Is Vacuum Energy After All cites this paper.

Evolving Dark Energy Is Vacuum Energy After All Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-26T16:29:36.067995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T16:24:11.276983Z digest=sha256:94e37a9c0775923ad0840b3878f98cb346bd8a6d4567f87cd257465375affb3e

Observation df0f9c83-c20e-45c2-917c-4b7271488bdf · inbound

Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator cites this paper.

Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:49:55.374899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T02:24:51.784117Z digest=sha256:f9b116454268ca12fcca2d170f47ac7342d51c0924c7b34b8c53c7a0ffadac29

Observation 3dd69a06-b7ef-4b03-8590-abf1d66761f6 · inbound

General Relativistic Entropic Acceleration at the perturbation level: a CLASS implementation and first Boltzmann-code constraints cites this paper.

General Relativistic Entropic Acceleration at the perturbation level: a CLASS implementation and first Boltzmann-code constraints Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

Reference 154

Resolution
unresolved
no resolver link, observed 2026-08-01T01:25:44.472022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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