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Paper Citation Record · LEDGER

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.07966.

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

pith.paper-citation-record.v1
1711.07966 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:05:21.548506Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T07:39:38.268041Z

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 e91c79f2-b9f1-4873-8818-619b793e7b06 · inbound

Analytic Waveforms for Eccentric Gravitational Wave Bursts cites this paper.

Analytic Waveforms for Eccentric Gravitational Wave Bursts Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-14T05:05:21.548506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:05:21.548506Z digest=sha256:1210ac52710ab38e05952563e9ceee1cc7f2b0243c7bc9e13589270cb00af599

Observation 564ae067-5c6d-4d32-86df-e7ddb2560529 · inbound

Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning cites this paper.

Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:39:38.269589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T13:20:12.147520Z digest=sha256:e72772d4f30216071c87a62c091625057d94919320abee576062a918c38c2b62