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Paper Citation Record · LEDGER

Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.12543.

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

pith.paper-citation-record.v1
2204.12543 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:21:55.750869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:38:15.596214Z

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 bee84600-e1f9-4896-92c2-2ed9a7c0631c · inbound

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks cites this paper.

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:38:15.599685Z

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.

source=arxiv_source observed=2026-05-23T17:37:19.934268Z digest=sha256:42c33c8066a841ca1e63aa8e0988705b2a43a2ad459c6895bc4ea3846300e073

Observation dcc85666-71be-4c2b-8925-76a6424ef25c · inbound

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter cites this paper.

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T14:21:55.750869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:21:55.750869Z digest=sha256:1ab2aa6b37f3d8be48016cf15a2020954c57e65d390e22432acc6ad76b047a2c

Observation bbe54e53-35ce-4b8b-819d-3850ed8e9c92 · inbound

NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models cites this paper.

NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:13:51.076974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:13:51.076974Z digest=sha256:7d6997b07892073f6ed61a91677d2aa7420a46ea5ae3f4bb2142bd7fbe5d10d9

Observation d6e47510-4109-4fe5-a4f1-2408ca8f29eb · inbound

Decoding Memes: Benchmarking Narrative Role Classification across Multilingual and Multimodal Models cites this paper.

Decoding Memes: Benchmarking Narrative Role Classification across Multilingual and Multimodal Models Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:25.493354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:25.493354Z digest=sha256:551e1917065cdb30060a10c679bef56d721ce5419d5046ebd83239e4c0839e8f

Observation cb505f1a-b175-4b24-a223-ac93c0e936f4 · inbound

Conditional Reliability of Toxicity Signals for Multilingual and Code-Mixed Abuse Detection cites this paper.

Conditional Reliability of Toxicity Signals for Multilingual and Code-Mixed Abuse Detection Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T22:09:56.638167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:09:56.638167Z digest=sha256:6d5b95d465b20fcc1659a8b70644ac240ec02c2d13cadef6d9b6cabd63daa99f