Paper Citation Record · LEDGER

Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2509.04538.

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

pith.paper-citation-record.v1
2509.04538 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:43:48.701451Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:59:37.076699Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 45234eb7-1ab8-44e6-a249-020e071c79e2 · inbound

Detection of Multiband Lensed Gravitational Waves from Dark Matter Halos with Deep Learning cites this paper.

Detection of Multiband Lensed Gravitational Waves from Dark Matter Halos with Deep Learning Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T22:43:48.701451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39190c93-58e5-4129-a1d7-3c4a51ca6c7b · inbound

Detection of Lensed Gravitational Waves in the Millihertz Band Using Frequency-Domain Lensing Feature Extraction Network cites this paper.

Detection of Lensed Gravitational Waves in the Millihertz Band Using Frequency-Domain Lensing Feature Extraction Network Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:11:13.198332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a9ff32ef-94aa-4a10-91ff-2e8d145142c2 · inbound

Mock Catalogs of Strongly Lensed Gravitational Waves via A Halo Model Approach with Ground-based Detectors cites this paper.

Mock Catalogs of Strongly Lensed Gravitational Waves via A Halo Model Approach with Ground-based Detectors Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-15T12:19:50.254816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e520b3-fc1e-4f73-9e99-2ac692582682 · inbound

Finite-Core Signatures in LISA-Band Wave-Optics Lensing by Low-Mass Dark Matter Halos cites this paper.

Finite-Core Signatures in LISA-Band Wave-Optics Lensing by Low-Mass Dark Matter Halos Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:59:37.078679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a81ae4f6-4b49-4f0e-97ae-895ff1751a6d · inbound

Wave Optics Effects from Gravitational Wave Propagation Through Dark Matter Halos cites this paper.

Wave Optics Effects from Gravitational Wave Propagation Through Dark Matter Halos Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:04:46.567864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bf40382b-ee8d-4569-8b21-3a7c3c3faa27 · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Reference 141

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:00.672720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.