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Paper Citation Record · LEDGER

Glitch Classification and Clustering for LIGO with Deep Transfer Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.07468.

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

pith.paper-citation-record.v1
1711.07468 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:06:42.451596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T12:45:24.095339Z

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 61623ec7-7def-4f9e-8217-849087bdf489 · inbound

Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey cites this paper.

Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey Glitch Classification and Clustering for LIGO with Deep Transfer Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T05:06:42.451596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:06:42.451596Z digest=sha256:ddf482988cd875c995b13996c50597bf7ba0fabb7927a97f0115ac25108e78b3

Observation e800e992-c756-406b-9be5-305ad9232b89 · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Glitch Classification and Clustering for LIGO with Deep Transfer Learning

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:48:17.439621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:44:04.023275Z digest=sha256:1009a1ff0d8a7c9b311d592f729029af5591dbea2b5e551dbb91165c390073ea