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Paper Citation Record · LEDGER

Hierarchical Bayesian inference on an analytical model of the LISA massive black hole binary population

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.06527.

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

pith.paper-citation-record.v1
2409.06527 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:24.175525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:46:51.777964Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 055f25ea-8014-4a68-b9d5-b9b77bda1a26 · inbound

A pipeline for searching and fitting instrumental glitches in LISA data cites this paper.

A pipeline for searching and fitting instrumental glitches in LISA data Hierarchical Bayesian inference on an analytical model of the LISA massive black hole binary population

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:24.175525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:24.175525Z digest=sha256:af938c8d7ffdf3149061d41d025e73ba0fa9a07e64c61b98d6cfe6ba9eae2b2b

Observation 0c585dbc-e31e-4627-8004-fa10f5e31461 · inbound

Comparing the Spatial Correlation of Binary Black Hole Mergers to Large-Scale Structure through the Illustris Simulation cites this paper.

Comparing the Spatial Correlation of Binary Black Hole Mergers to Large-Scale Structure through the Illustris Simulation Hierarchical Bayesian inference on an analytical model of the LISA massive black hole binary population

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:06:53.216236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:06:53.216236Z digest=sha256:e68453f50242f5c1edc1907156f7a88b2f80850a232e136a9761dc66bfded69d

Observation c35e398c-c75e-476b-986e-7dc165f9e760 · inbound

Constraints on the extreme mass-ratio inspiral population from LISA data cites this paper.

Constraints on the extreme mass-ratio inspiral population from LISA data Hierarchical Bayesian inference on an analytical model of the LISA massive black hole binary population

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:46:51.780897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T21:45:55.600867Z digest=sha256:7b703a5090b9e7aeff0d8cc27f1509c5ad9febc7711cb3c4637afbf5e95a51de