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Paper Citation Record · LEDGER

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1902.00522.

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

pith.paper-citation-record.v1
1902.00522 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T19:25:07.438670Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T19:26:47.945023Z

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 28baa3a1-a073-4f77-9fc7-8b23c8e8fd1d · inbound

The Early Career Workshop of GR-Amaldi 2025 cites this paper.

The Early Career Workshop of GR-Amaldi 2025 Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T19:26:47.947173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T19:25:07.438670Z digest=sha256:94a91e3b992368321e7b98799f970fdf3301134a07e950ab2b12d926337cb28d