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Paper Citation Record · LEDGER

Premerger detection of massive black hole binaries using deep learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.16282.

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

pith.paper-citation-record.v1
2402.16282 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T17:41:37.646684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T17:42:31.260781Z

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 f34ac4ec-c040-4d4b-868b-4a7ed2d2d9c4 · inbound

Pre-localization of Massive Black Hole Binaries in the Millihertz Band cites this paper.

Pre-localization of Massive Black Hole Binaries in the Millihertz Band Premerger detection of massive black hole binaries using deep learning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:51:21.961202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T02:21:19.211958Z digest=sha256:264ce8fccaa5b09d77b48e04521e25b293750de8427cf648e9b9edd1b6589abc

Observation 581c1e2a-ffac-4256-8e1f-a9aa6f72b45c · inbound

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets cites this paper.

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets Premerger detection of massive black hole binaries using deep learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:42:31.263026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T17:41:37.646684Z digest=sha256:d3e688bc75290e7fed2a90134310ebc8e89f4ae1cb9e161b469f97b8663c9c15