Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.15530.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:35:06.273837Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T20:10:08.559120Z
Reference resolution
0 of 0 outbound references displayed
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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 18639c52-dfe7-4931-bbc6-500941abb995 · inbound
Comparing astrophysical models to gravitational-wave data in the observable space cites this paper.
Comparing astrophysical models to gravitational-wave data in the observable space A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T02:18:10.765564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3f0fe18-bdc5-400c-8f2b-aa683a31baf2 · inbound
Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LVK to LISA cites this paper.
Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LVK to LISA A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:35:06.273837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33410398-cd25-425a-97ad-9705f176e8d6 · inbound
Measurement prospects for the pair-instability mass cutoff with gravitational waves cites this paper.
Measurement prospects for the pair-instability mass cutoff with gravitational waves A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T02:18:10.765564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6767aae-74fa-4f68-a34f-49646a92e6dd · inbound
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 284
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T02:18:10.765564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6dc386d-d3d1-42c4-9105-2a84698b97e3 · inbound
End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.
End-to-End Population Inference from Gravitational-Wave Strain using Transformers A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T02:18:10.765564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e6afe08-85f8-445c-ab63-dd730bd13aec · inbound
Constraining supermassive primordial black hole clustering with the angular auto-correlation of $z\simeq 6$ quasars cites this paper.
Constraining supermassive primordial black hole clustering with the angular auto-correlation of $z\simeq 6$ quasars A fast deep-learning approach to probing primordial black hole populations in gravitational wave events
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:10:08.560498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.