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Paper Citation Record · LEDGER

Machine Learning Applications in Gravitational Wave Astronomy

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.07406.

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

pith.paper-citation-record.v1
2401.07406 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:33:04.592061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:21:44.899569Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 f454a61d-5152-4c76-ada6-8fd316b170e6 · inbound

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.

Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Machine Learning Applications in Gravitational Wave Astronomy

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:21:44.902084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T15:18:34.550100Z digest=sha256:5cc43bd14d5cc3b357a1704e574f7d3e4df4611ef0364d3acab7f65948b3b4b3

Observation 59b1c232-f05e-420d-a687-2d560ba9aba7 · inbound

Data-Driven Constraints on Magnetar Population: No Evidence for a Distinct White Dwarf Channel cites this paper.

Data-Driven Constraints on Magnetar Population: No Evidence for a Distinct White Dwarf Channel Machine Learning Applications in Gravitational Wave Astronomy

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.633876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T18:17:33.665350Z digest=sha256:93b494bb73cf5a1649711a6ee21626dc096f23c27a062f2c028bdf7787dd3d42

Observation 15b612cc-a22d-45c1-9012-521ae45ff3e7 · inbound

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters cites this paper.

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters Machine Learning Applications in Gravitational Wave Astronomy

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T00:33:04.592061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:33:04.592061Z digest=sha256:d238a88a10cdcddf50264bcc7f307b78db14cd69785d70f72ef9125f69c250b1