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Paper Citation Record · LEDGER

One-step and Two-step Classification for Abusive Language Detection on Twitter

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1706.01206.

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

pith.paper-citation-record.v1
1706.01206 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:56:27.524080Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:58:47.599918Z

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 df947db1-128f-41f2-b1af-4f90d19f8ff8 · inbound

Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies cites this paper.

Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies One-step and Two-step Classification for Abusive Language Detection on Twitter

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T11:56:27.524080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:56:27.524080Z digest=sha256:61461eb4583492a6875b56f784cc9b1766a37e5e5c506b904b7e444869e17382

Observation 836b7d6e-caf3-4c79-9d85-45cae7ceb81f · inbound

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph cites this paper.

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph One-step and Two-step Classification for Abusive Language Detection on Twitter

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:58:47.616778Z

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=arxiv_source observed=2026-08-11T13:58:47.188396Z digest=sha256:5fefa5ac1b9dd8efb92357404ce06e44c05206ce9613a61c6ab8f71d5583411f