Paper Citation Record · LEDGER

Deep Learning Models for Multilingual Hate Speech Detection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2004.06465.

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

pith.paper-citation-record.v1
2004.06465 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:57:39.585133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:19:50.828084Z

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 f0bb6f62-01a4-4082-8704-76b119f8bb35 · inbound

HateGPT: Unleashing GPT-3.5 Turbo to Combat Hate Speech on X cites this paper.

HateGPT: Unleashing GPT-3.5 Turbo to Combat Hate Speech on X Deep Learning Models for Multilingual Hate Speech Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:57:39.585133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a7b1ca1-7ee5-48e5-a693-2b86d541daab · inbound

ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data? cites this paper.

ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data? Deep Learning Models for Multilingual Hate Speech Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:50:44.147748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b244368-019b-4d55-97a3-959b8a423128 · inbound

Hate Speech According to the Law: An Analysis for Effective Detection cites this paper.

Hate Speech According to the Law: An Analysis for Effective Detection Deep Learning Models for Multilingual Hate Speech Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:00:55.042572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e9f809-a001-4b0a-b779-9e061f239b7c · inbound

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media cites this paper.

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media Deep Learning Models for Multilingual Hate Speech Detection

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:50.829557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.