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Paper Citation Record · LEDGER

HateMM: A Multi-Modal Dataset for Hate Video Classification

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.03915.

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

pith.paper-citation-record.v1
2305.03915 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 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T07:36:53.225202Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a005a8c0-5033-4a6b-b09f-8b98c7b78bad · inbound

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts cites this paper.

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts HateMM: A Multi-Modal Dataset for Hate Video Classification

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:28.877070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T07:36:53.225202Z digest=sha256:dd75df075494d7003b479144813a3c1d91e1cb1f7a399239ceb091ebb0e8e616