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Paper Citation Record · LEDGER

Radio Loud AGNs are Mergers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1505.07419.

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

pith.paper-citation-record.v1
1505.07419 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:08:30.154380Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T00:54:06.583995Z

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 cfc864d9-d1cc-4e03-8883-56669a5ce855 · inbound

Search for spatial coincidences between galaxy mergers and Fermi-LAT 4FGL-DR4 sources cites this paper.

Search for spatial coincidences between galaxy mergers and Fermi-LAT 4FGL-DR4 sources Radio Loud AGNs are Mergers

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-06T20:08:30.154380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:30.154380Z digest=sha256:273ce861f932e9354759c911630c7545f34efb440327ef28673613ca34ef59b9

Observation 0b6724b1-5182-4266-aa42-fb746a37ab3f · inbound

Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning cites this paper.

Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning Radio Loud AGNs are Mergers

Reference 261

Resolution
verified exact
local_arxiv, observed 2026-06-30T00:54:06.585412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:b9e32cb70f555ac8f6dc7c178eda14efee1f5ed7066cc78dce68520b0b5762ca