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Paper Citation Record · LEDGER

(H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.05960.

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

pith.paper-citation-record.v1
2109.05960 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 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:04.227746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:37:03.639584Z

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 dbd7349b-d0cc-4644-8a1e-ee3527c4124d · inbound

Constraining Population III stellar demographics with next-generation gravitational-wave observatories cites this paper.

Constraining Population III stellar demographics with next-generation gravitational-wave observatories (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T10:19:04.227746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f7afc156-64ed-47ca-bee6-858e791c4bec · inbound

Nowhere left to hide: revealing realistic gravitational-wave populations in high dimensions and high resolution with PixelPop cites this paper.

Nowhere left to hide: revealing realistic gravitational-wave populations in high dimensions and high resolution with PixelPop (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:12.318079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:12.318079Z digest=sha256:52b38d0bd0446a8c639b1d9d36bad67fa41b59d262f8c4abe4d519c6bf248575

Observation 3a4e1343-3af3-492d-9249-61b1108fb7f6 · inbound

Comparing astrophysical models to gravitational-wave data in the observable space cites this paper.

Comparing astrophysical models to gravitational-wave data in the observable space (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:37:03.642702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T04:36:12.661648Z digest=sha256:f59a3fa2447f33dda58de9e5672202f9d652eb826fbe95d0ef27329839ff3ff9

Observation 67b38efb-f850-4a4c-ba1c-fe3731184e51 · inbound

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference cites this paper.

When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-04T22:42:34.775505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:42:34.775505Z digest=sha256:6af3c5e375acb917d177a2e469e872f9c0d4f4f5d5d143c32ef1570a88d2363a

Observation 4ba328ad-ab21-467e-b882-7f028704c292 · inbound

Emergent structure in the binary black hole mass distribution and implications for population-based cosmology cites this paper.

Emergent structure in the binary black hole mass distribution and implications for population-based cosmology (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:51:01.222150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:31:50.358428Z digest=sha256:7f3f0802d5e3e71939cfedb041dcd9953238e6b4b46fb4acf621dcee2ace63e6

Observation a9321716-da9d-4349-a800-3b1f9a990f49 · inbound

Uncovering Hierarchical Sub-Population of Binary Black Holes cites this paper.

Uncovering Hierarchical Sub-Population of Binary Black Holes (H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T23:27:58.914517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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