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Paper Citation Record · LEDGER

GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.09977.

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

pith.paper-citation-record.v1
2304.09977 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:49.671200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T18:32:43.149401Z

Reference resolution

0 of 0 outbound references displayed

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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 f963f7b3-ec82-4204-baa5-3788b09ad1be · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:49.671200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:49.671200Z digest=sha256:1f1da7cb8e453d1538e58b01210f41b35c4f18c4ecbd513fd72af0a4f218b3c1

Observation 2dab77a8-8839-4aa6-ac86-b48cb740ac36 · inbound

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation cites this paper.

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:57.294299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:57.294299Z digest=sha256:6ce4afc970b07782be58aedc36d536ef37b72b1f8b403e98f9896482b11f7c6f

Observation 646df496-56cd-44da-b265-fb19267ce2bd · inbound

GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors cites this paper.

GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:32:19.988934Z

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=2026-05-13T05:27:45.004977Z digest=sha256:ae139fb50f083cf952c3751bb4ce7682a529f2d347a334ed7f0fe5a9edddcbb9

Observation 4e08fdea-878d-4b66-8dcc-81c5486330c3 · inbound

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit cites this paper.

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit GSpyNetTree: A signal-vs-glitch classifier for gravitational-wave event candidates

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T18:32:43.150926Z

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=2026-05-19T18:28:05.480261Z digest=sha256:0852b9bff58cacf6444bbec32f18563d4e71236e0230c73d7e6108e554fe8e75