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Paper Citation Record · LEDGER

Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2109.06137.

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

pith.paper-citation-record.v1
2109.06137 v2

Coverage vector

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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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:22.015587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:58:07.923725Z

Reference resolution

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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 1198e584-967e-4d23-bf8a-7e5285ad661f · inbound

The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets cites this paper.

The Long Road to Alignment: Measuring Black Hole Spin Orientation with Expanding Gravitational-Wave Datasets Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:22.015587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5945ee5-3561-4878-a93c-b09f84542851 · 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 Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-04T22:42:34.751042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c48c533-ac68-4acf-b049-29e140c9fb99 · inbound

Aligned Hierarchical Black Hole Mergers in Active-Galactic-Nuclei Disks Revealed by GWTC-4 cites this paper.

Aligned Hierarchical Black Hole Mergers in Active-Galactic-Nuclei Disks Revealed by GWTC-4 Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 44

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 23c60d53-748b-4d14-a8b5-000b07e6f82a · inbound

A new group of low-spin $50-70M_\odot$ Black Holes and the high pair-instability mass cutoff cites this paper.

A new group of low-spin $50-70M_\odot$ Black Holes and the high pair-instability mass cutoff Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.180082Z

Source-reported events for the cited work

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Observation 33d138fe-8e83-48d2-9080-ed174f594bce · inbound

A new group of low-spin $50-70M_\odot$ Black Holes and the high pair-instability mass cutoff cites this paper.

A new group of low-spin $50-70M_\odot$ Black Holes and the high pair-instability mass cutoff Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 57

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c05d621-1c0f-410c-9593-adf0837d572b · 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 Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 40

Resolution
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arxiv_id, observed 2026-05-11T11:51:01.407796Z

Source-reported events for the cited work

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Observation f4bb5476-6654-414a-8208-08f26d4f228f · inbound

Evidence for additional structure in the effective spin distribution hints at multiple formation pathways in GWTC-5.0 cites this paper.

Evidence for additional structure in the effective spin distribution hints at multiple formation pathways in GWTC-5.0 Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-07-03T12:58:07.925096Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4e373873-bde6-434d-8a3f-9f9e88fa973c · inbound

A Four-dimensional Model-agnostic Probe into the Astrophysical Origins of Binary Black Hole Subpopulations cites this paper.

A Four-dimensional Model-agnostic Probe into the Astrophysical Origins of Binary Black Hole Subpopulations Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution

Reference 158

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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