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Paper Citation Record · LEDGER

Deep Multi-view Models for Glitch Classification

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.00034.

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

pith.paper-citation-record.v1
1705.00034 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:49.766752Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T05:47:14.248983Z

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 3d522a81-aa28-47fd-b5bf-d88a9b7ec7bd · 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 Deep Multi-view Models for Glitch Classification

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:49.766752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:49.766752Z digest=sha256:5da434a613fb2b7b02fa2d3d39e3d85f791c16ddcd7c1309b60498f326ad4a9a

Observation c9ef9436-4a6d-420a-a494-687556c8f6c0 · inbound

No Glitch in the Matrix: Robust Reconstruction of Gravitational Wave Signals Under Noise Artifacts cites this paper.

No Glitch in the Matrix: Robust Reconstruction of Gravitational Wave Signals Under Noise Artifacts Deep Multi-view Models for Glitch Classification

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:47:14.260206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:47:13.031162Z digest=sha256:f18c85dfbe4a4b9ca7a80c84e27149a8c172a844b449ebb063d45a6dbf622a97