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Paper Citation Record · LEDGER

Convolutional neural network search for long-duration transient gravitational waves from glitching pulsars

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.16720.

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

pith.paper-citation-record.v1
2303.16720 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:53.073897Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:42:52.100950Z

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 0f7908ad-eb16-4bc3-b999-86dda28bd359 · 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 Convolutional neural network search for long-duration transient gravitational waves from glitching pulsars

Reference 297

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:42:52.106458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T11:42:50.906562Z digest=sha256:8f231bf4a112f2a0b4a6333eb15a58d1304605fcfd3bf68a0bbff233845565cf

Observation 23229e2b-bdaf-46b9-88b3-c68e917fcb95 · inbound

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? cites this paper.

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? Convolutional neural network search for long-duration transient gravitational waves from glitching pulsars

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:53.073897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:53.073897Z digest=sha256:395a04c414e1198e8ffb08b0bfab98fdfc8ba96e19446a55d5058671180ccbf0