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Paper Citation Record · LEDGER

Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.10048.

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

pith.paper-citation-record.v1
2404.10048 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:32:29.082563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:43:43.123281Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 856d4ede-0e1b-463b-88ae-23399e97a3d8 · inbound

Validating Prior-informed Fisher-matrix Analyses against GWTC Data cites this paper.

Validating Prior-informed Fisher-matrix Analyses against GWTC Data Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:43:43.126007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T01:41:02.373348Z digest=sha256:8a526fb9d49f6ec8bcdb3abe3b7a5dab402669379186b779d679689da0ecf11f

Observation b36c9b5e-d5f5-443e-8f70-fa8bbb9f6573 · inbound

Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors cites this paper.

Not too close! Evaluating the impact of the baseline on the localization of binary black holes by next-generation gravitational-wave detectors Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:31:03.190440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:27:10.838625Z digest=sha256:7fdb5bd53e06ab9261bcfc64a647398f916d242054755570834457cd8d195b40

Observation 6808a638-ee81-45b6-8c06-6fdc74ddc4c1 · inbound

Prospects for characterizing Population III remnants with next-generation gravitational-wave observatories cites this paper.

Prospects for characterizing Population III remnants with next-generation gravitational-wave observatories Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T22:32:29.082563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:32:29.082563Z digest=sha256:ce0d806198f56c7665e181e49effad499fe04007c7e19065eff19b56bb7927a5