Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:04.227746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T04:37:03.639584Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation dbd7349b-d0cc-4644-8a1e-ee3527c4124d · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7afc156-64ed-47ca-bee6-858e791c4bec · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a4e1343-3af3-492d-9249-61b1108fb7f6 · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 67b38efb-f850-4a4c-ba1c-fe3731184e51 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ba328ad-ab21-467e-b882-7f028704c292 · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a9321716-da9d-4349-a800-3b1f9a990f49 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.