Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Unsupervised Approach to Detect Spam Campaigns that Use Botnets on Twitter
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1804.05232.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:05:48.244061Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:05:48.911410Z
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 18e4274b-7381-4982-83f8-bcce45bee26d · inbound
IOHunter: Graph Foundation Model to Uncover Online Information Operations cites this paper.
IOHunter: Graph Foundation Model to Uncover Online Information Operations An Unsupervised Approach to Detect Spam Campaigns that Use Botnets on Twitter
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:05:48.921537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.