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Paper Citation Record · LEDGER

Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.12646.

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

pith.paper-citation-record.v1
2104.12646 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:09.132788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:14:26.076946Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 9ff94ddd-006f-411f-8874-bb47b5ae7223 · inbound

Sequential simulation-based inference for extreme mass ratio inspirals cites this paper.

Sequential simulation-based inference for extreme mass ratio inspirals Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:59:09.132788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:09.132788Z digest=sha256:ffb46b3b48a2fddb862c51e937e2965e6a190f90a5d007bad86cdab06f5f1f59

Observation 6bf09408-b603-4a3e-8ac9-e3271daccd8e · inbound

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis cites this paper.

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T20:55:44.169976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:55:44.169976Z digest=sha256:b033eb136c783e77c14e23df88141c68f20e30a93e6406a1d8f202f034c3fa22

Observation 60616c3e-7abc-4667-8ff3-3b5f4f4821b4 · inbound

Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.

Neural posterior estimation of Galactic Binary signals for the LISA mission Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:26.078389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T08:04:25.273338Z digest=sha256:dd06ddeeff51c45f240b8fb4d6f383144c4b44db95195a7478fc8a29de7c27d7