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Paper Citation Record · LEDGER

HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.00328.

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

pith.paper-citation-record.v1
2205.00328 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:14.853534Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:34:42.367933Z

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 d26edfb4-9e4d-45c0-b603-4710bfe9f22b · inbound

Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models? cites this paper.

Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models? HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:14.853534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:14.853534Z digest=sha256:0e287ef4c89282156a818213b192daeb03b3acad6d5e86ef7a0325d1c23595ed

Observation 63b14173-5fb9-4530-b2e7-3af7cb2c8f5e · inbound

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages cites this paper.

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:34:42.417825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:34:40.745599Z digest=sha256:62d535c21853299f19ef4272b349ffa6519f4e04635c1b9b4506bc3346a54e6d