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Paper Citation Record · LEDGER

Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.08545.

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

pith.paper-citation-record.v1
2012.08545 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:30:31.103707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:10:37.098554Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 38271759-f7d7-474e-a1f6-5009be9eda03 · inbound

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T05:30:31.103707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:30:31.103707Z digest=sha256:261fddf4a31070fb21aeb1d9967a534fef44956842760cf5c5b14143ce23c891

Observation 55bd3f8d-c6f1-48ad-ad19-eb68a24524a4 · inbound

Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework cites this paper.

Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:37.100059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:52:00.585887Z digest=sha256:f2911216ec25bd34dc0a261b50138c837b53a4fa1eba76272a1c48e0b7628257