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Paper Citation Record · LEDGER

Right-wing German Hate Speech on Twitter: Analysis and Automatic Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1910.07518.

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

pith.paper-citation-record.v1
1910.07518 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 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:40:05.322476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T10:40:06.165544Z

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 358e3cd8-1b34-43f8-9bb8-03d1165d99ff · inbound

A Survey on Automatic Online Hate Speech Detection in Low-Resource Languages cites this paper.

A Survey on Automatic Online Hate Speech Detection in Low-Resource Languages Right-wing German Hate Speech on Twitter: Analysis and Automatic Detection

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:40:06.170712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:40:05.322476Z digest=sha256:4913bb027cbc5b3e6fc1b5f2b5ea741379cbedb7b42b06a08addf6902d4e2ade