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Paper Citation Record · LEDGER

A classifier for gravitational-wave inspiral signals in non-ideal single-detector data

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.02421.

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

pith.paper-citation-record.v1
1709.02421 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:50.548876Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:30:00.287097Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 f7bfc53d-99de-480f-b81d-2079d6d951a6 · 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 A classifier for gravitational-wave inspiral signals in non-ideal single-detector data

Reference 226

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:50.548876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:50.548876Z digest=sha256:c2942124361f0d1995be2f6aaa2e50b0207784d783badb8daf732dcd21cc5dd3

Observation c8121182-b320-401a-ace3-bf67eaa3b91b · inbound

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run cites this paper.

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run A classifier for gravitational-wave inspiral signals in non-ideal single-detector data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T23:54:51.965971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:54:51.965971Z digest=sha256:803e8899b4a0bec1d1fff78d150ec448390646743fee36a2a31ac26074688b17

Observation 4434d2d9-2d35-4807-b1c8-1480021580d3 · 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 A classifier for gravitational-wave inspiral signals in non-ideal single-detector data

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:30:00.363814Z

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=2026-08-06T18:29:57.954748Z digest=sha256:aa2ae285e2f98fe233428fc25f2c2fa4857ccc87556587a0e37267eb986e9ef2